Three phase signal Permanent Magnet Linear Generator (PMLG) using finite element method

This study focuses on harnessing wave energy to generate electrical energy. Although numerous renewable energy technologies have been implemented in Malaysia, the utilization of waves is still lacking, even though Malaysia is a country encircled by seas. Hence, this research attempts to design an effective permanent magnet linear generator (PMLG) that can fit Malaysian wave conditions. Most researchers concentrated their research on regions with waves unfit for Malaysian wave conditions. This study obtained wave data from different regions based on the nearest sea grids along Peninsular Malaysia’s coastline. The wave data, including wave height and wave period, were collected daily from the webpage of Malaysian Meteorology Malaysia. Since the Northeast Monsoon season is believed to be Malaysia’s primary rainfall season, data on wave height and wave period was gathered during this period. Moreover, the wave speed data has also been displaying an increment every month throughout the monsoon period. The minimum average speed collected was 0.048 m/s in the Southern Region, while the highest wave speed was 0.251 m/s. This study then examined each characteristic of a 3-phase linear generator and simulated the design using Ansys software. Different PMLG parameters, such as winding, stator, and permanent magnet configuration, were simulated to find suitable designs capable of producing a greater output voltage. This study also performs analysis for loaded and no-load calculations. For no-load calculations, the data was obtained by performing no-load calculations, while for loaded calculations, a simple equation was applied. Furthermore, a PMLG with a higher number of coil turns can produce a higher output voltage. Added to that, the optimum dimensions of the stator and permanent magnet also play a crucial role in creating higher levels of an output voltage of 11.57 V per phase with a wave velocity of 0.14 m/s. Furthermore, the output power for loaded calculations has also been increasing, reaching about 117 watts.